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Enterprise data analytics is the most valuable application scenario for ChatGPT Agent

2025-08-21 456
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ChatGPT Agent has reshaped the workflow of enterprise data analysis and improved the efficiency of business intelligence processing. When the marketing department uses the "Generate Competitor SWOT Analysis" command, the Agent automatically completes the following key steps: crawling traffic data from SimilarWeb, calling the Crunchbase API to obtain funding information, analyzing social media sentiment indexes, and finally producing management reports with dynamic charts and graphs. The final output is a management report with dynamic charts. A case study of a retailer shows that a monthly market analysis that would have taken 3 days to complete was compressed into 2 hours by Agent.

The tool is particularly strong in the finance area, handling the complex task of "forecasting next quarter's revenue" by connecting to the ERP system, extracting historical data, running an ARIMA forecasting model, and calibrating it against macroeconomic indicators. The output includes not only data tables, but also automatically generates IFRS-compliant annotations, and Gartner predicts that by 2026, 70% of organizations will have adopted these AI agents to handle routine analytics, allowing data teams to focus on strategic decision support.

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